Senior ML/AI Engineer (AI Lab)

About us

Red Sift's Digital Resilience Platform solves for the greatest vulnerabilities across the complete attack surface. By providing comprehensive coverage of an organization’s digital footprint through best-in-class discovery and monitoring, Red Sift enables users to proactively uncover threats within email, domains, brand, and the network perimeter. Paired with sophisticated remediation capabilities, Red Sift provides organizations with the tools to shut down phishing and ensure ongoing compliance with email and web security protocols.

We are a global organization with offices in North America, Ireland, Spain, and the UK. It boasts an impressive client base across all industries, including Domino’s, ZoomInfo, Athletic Greens, Pipedrive, and top global law firms. Red Sift is also a trusted partner of Entrust, Microsoft, and Validity, among others.

We are leading the way in AI

Red Sift has been the first to deliver useful AI capabilities in this space and we want to continue leading the way in that front, preparing our products for the future and exposing our capabilities not only to humans but also to AI.

About the team

The mission of the AI Lab is to research, design, and build cutting-edge machine learning and artificial intelligence solutions that are integrated across Red Sift's products. Working closely with different product teams, we identify opportunities and gaps that can be improved by leveraging AI to automate complex tasks and reduce the user's manual effort.

About the role

We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and large language models (LLMs). You’ll work on cutting-edge AI functionality across our flagship cybersecurity platform — building scalable, performant systems that harness the power of data, ML models, and ML infrastructure.

In this role you will:

• Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.

• Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), agentic systems.

• Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.
  

About you

• You are a good human, easy to work with, empathetic, open-minded and a team player. 

• Our values (Responsiveness, Empowerment, Diversity, Social Responsibility, Innovation, Fairness, Trust) make sense to you.

• You are driven, and having a lot of autonomy motivates you. 

• You have a customer-centric mindset: you really care about the customer outcomes.

• You understand that every decision you make has trade-offs and feel confident making decisions while moving quickly and building secure, scalable and resilient solutions to unexplored, complex technical problems.

• You don’t mind rolling up your sleeves and getting your hands dirty with tech debt or digging out annoying bugs.

• You are a collaborative ML/AI Engineer with proven professional experience in programming languages like Python, JavaScript/TypeScript and other relevant ML/AI technologies

• You possess a strong understanding of cloud computing, microservices, API design, and event-driven architectures. 

• You are enthusiastic about observability, and take charge of features delivered by monitoring their functionality and effectiveness after deployment. 

• You thrive in a team environment, effectively communicating and contributing independently when needed.

• You are comfortable with collaborating with other teams and other departments.

• You are excited about AI and are already integrating AI tools into your daily process.

Our Stack

• Exploration & prototyping: Jupyter notebooks for data exploration, experimentation, and model iteration

• Languages: Python for ML/AI development; JavaScript/TypeScript for production integration

• ML / DL frameworks: PyTorch and scikit-learn

• LLMs & GenAI: State-of-the-art foundation models, embeddings, and retrieval-augmented generation (RAG)

• Production: Cloud-native deployment with attention to scalability, latency, and cost
  

Location

Barcelona or London would be ideal but we would be happy to accommodate fully-remote working arrangements in locations with similar time zones.

Benefits

🌟 The opportunity to participate in every aspect of the startup journey in rapid scaling mode

✊🏽 The chance to participate in our mission to protect organisations and the people within them with cybersecurity software products that outsmart attackers at scale

💷 A competitive base salary based on experience in addition to a performance-based bonus, equity plan and pension scheme

📈 Career Progression plan

🧰 Full remote work, with the option to visit our office in London or Barcelona

🏝 25 days of vacation in addition to public holidays per year

🎂 Day off on your birthday

🧖‍♀️ A monthly budget for coaching and self-improvement such as courses, conferences and workshops

🏥 Health Insurance for you and your family members

👪 Maternity / Paternity leave

🏋️ Gym membership (via https://wellhub.com)

🚴 Cycle to work scheme

🦸 One volunteer day per year